Student Performance Prediction for Education

Radhika Kale

Abstract: To assure students' graduation on time and that too with satisfactory performance, the accurate prediction of future performance based on their ongoing academic details is needed. Very few searches have been made for predicting students' performance in completion of degrees as most searches focuses performance prediction while solving problems. The paper introduces a new way which uses machine learning for prediction of student?s performance in degree program which is able to counter important challenges that other systems faces like difference in students' backgrounds and selected courses, inequality in an information that courses provide for predictions etc.

Keywords: Prediction of Student performance, data-driven course clustering, personalized education